Python-based modelling improves torque and drag modelling in horizontal extended reach well

By ["V.A. Iskandarov", "G.V. Jabbarova", "Y.Y. Shmoncheva", "R.R. Tashmenov"]
December 2025

https://doi.org/10.65294/gpogc.2026.09

Python-based modelling improves torque and drag modelling in  horizontal extended reach well                                                                                                                                                          V.A. Iskandarov, G.V. Jabbarova, Y.Y. Shmoncheva, R.R. Tashmenov

Extended-reach drilling (ERD) wells are increasingly deployed to maximize reservoir exposure while reducing surface footprint, particularly in offshore environments. In Field X, typical ERD wells reach ~7,500 m measured depth (MD) with more than 3,000 m of horizontal departure, drilled from an offshore platform in 330 m water depth. These wells include two aggressive build-up sections—commonly 10–12°/30 m DLS—before entering long horizontal intervals drilled through alternating sandstone and shale. This complex geometry significantly elevates friction and drag, making accurate torque and drag (T&D) modelling crucial for successful casing-running operations, stuck-pipe avoidance, and overall well delivery reliability.